Curvilinear Structure Enhancement by Multiscale Top-Hat Tensor in 2D/3D Images

Alharbi, S. S., Sazak, Ç., Nelson, C. J. and Obara, B. (2018) Curvilinear Structure Enhancement by Multiscale Top-Hat Tensor in 2D/3D Images. In: IEEE International Conference on Bioinformatics and Biomedicine, Madrid, Spain, 3-6 Dec 2018, ISBN 9781538654880 (doi:10.1109/BIBM.2018.8621329)

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Abstract

A wide range of biomedical applications require enhancement, detection, quantification and modelling of curvilinear structures in 2D and 3D images. Curvilinear structure enhancement is a crucial step for further analysis, but many of the enhancement approaches still suffer from contrast variations and noise. This can be addressed using a multiscale approach that produces a better quality enhancement for low contrast and noisy images compared with a single-scale approach in a wide range of biomedical images. Here, we propose the Multiscale Top-Hat Tensor (MTHT) approach, which combines multiscale morphological filtering with a local tensor representation of curvilinear structures in 2D and 3D images. The proposed approach is validated on synthetic and real data, and is also compared to the state-of-the-art approaches. Our results show that the proposed approach achieves high-quality curvilinear structure enhancement in synthetic examples and in a wide range of 2D and 3D images.

Item Type:Conference Proceedings
Status:Published
Refereed:No
Glasgow Author(s) Enlighten ID:Nelson, Dr Chas
Authors: Alharbi, S. S., Sazak, Ç., Nelson, C. J., and Obara, B.
Subjects:Q Science > Q Science (General)
Q Science > QA Mathematics > QA75 Electronic computers. Computer science
College/School:College of Science and Engineering > School of Physics and Astronomy
ISBN:9781538654880
Published Online:24 January 2019
Copyright Holders:Copyright © 2018 IEEE
First Published:First published in 2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
Publisher Policy:Reproduced in accordance with the publisher copyright policy
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Project CodeAward NoProject NamePrincipal InvestigatorFunder's NameFunder RefLead Dept
172865EPSRC DTP 16/17 and 17/18Tania GalabovaEngineering and Physical Sciences Research Council (EPSRC)EP/N509668/1Research and Innovation Services